Job Description

In our Software Engineering Group, we look for people who are passionate around solving business problems through innovation and engineering practices.

JP Morgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries. We serve millions of U.S. consumers and many of the worlds most prominent corporate, institutional and government clients. We are a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management and private equity.
J.P. Morgan is a global leader in asset and wealth management services. With assets under supervision of $2.0 trillion and assets under management of $1.4 trillion, we are one of the largest asset and wealth managers in the world.

Overview
A critical priority for Asset & Wealth Management is to ensure that high-quality data is available to run our business and meet our clients' needs. We work with the WM business and Firm wide users, data scientists, ML team, CDO to analyze data, and ensure data governance and data quality standards are in place, look for efficiencies in business processes and associated market and reference data costs, and work with our technology partners to implement solutions.

This newly created role, at Senior Bigdata Engineer level is to support the following key areas in support of growth strategy of the International Private Bank, within Wealth Management:-
Bigdata Analytics platform
DataScience

Primary Responsibilities
Work with a team of engineers and developers to deliver against the overall technology data strategy
Develop framework, metrics and reporting to ensure progress can be measured, evaluated and continually improved.
Experience in building pipelines from different sources/entities.
Experience working with Big Data tools and frameworks like Hadoop, Spark, Map Reduce, Avro, Hive and Impala
Exposure to building highly scalable and resilient applications on cloud technologies. Preferred AWS ecosystem.
Working proficiency in developmental toolsets Knowledge of industry wide technology strategies and best practices
Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.
Advanced knowledge of application, data and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Ensure enterprise data platforms are standardized, optimized, available, reliable, consistent, accessible and secure to support business and technology needs Oversee enterprise data stores, warehouses, repositories, schemas, catalogs, access methods and other enterprise related data assets
Drive knowledge management practices for key enterprise data platforms and collaborate within solution design and delivery
Collaborate with peers across Enterprise Data Management, to deliver on the overarching strategy
Full time Product Owner for the cluster empowered to make decisions, enforce discipline in the cluster and has the sponsorship/buy-in of the tenant applications senior leaders
Responsible for the Engineering discipline across the platform
Establishes governance and control processes within the cluster

Skills
Proficient experience in JAVA/J2EE, Python/Scala.
Solid understanding of Hadoop technologies (YARN, Hive, Impala, MR, Spark, etc.)
Good exposure on working with different kind of file formats like Avro, Parquet, ORC etc.,
Proficient in cloud eco system, In-depth knowledge on s3,glue,lamda,elastic search & streaming technologies like Kafka, Kinesis or Spark Streaming
Proficient with Unix/Linux (building/assembling packages, shell scripts & configuration management)
Experience working with Vendors/Open Source in the Hadoop ecosystem
Knowledge of enabling Kerberos and best practices for securing data a plus
Cloudera eco system experience is plus.
Machine Learning and Analytics knowledge is plus.
Knowledge of the open source community (opening issues, tracking issues and identifying problematic issues ahead of time by tracking open JIRA issues in the community)

Competencies
Thinks strategically - sets overall direction for solution design and delivery for enterprise platforms aligned to the data & analytics strategy
Results Driven - sets aggressive goals and is accountable for continuously driving improved outcomes, leading change and ensuring high standards
Excellent communication skills, both written and verbal in conveying technical design and approach.